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Rule of 40: A Complete Guide for FinOps and SaaS Teams
The Rule of 40 tells investors and operators whether a SaaS business grows efficiently. Learn how to calculate it, benchmark it, and improve it.
DoiT Achieves AWS Business Value Realization Competency as an Inaugural Launch Partner
DoiT has been named an inaugural launch partner for the AWS Business Value Realization Competency, recognizing its work helping customers turn AWS investments into measurable business outcomes.
GKE Standby Buffers: Fast Scaling Without the Idle Bill
GKE Standby Buffers pre-initialize and suspend nodes, enabling 2–3x faster scaling than cold provisioning while cutting idle infrastructure costs by up to 90%.
DoiT Expands PartnerOps Platform as Distributor and Hyperscaler Demand Accelerates
DoiT expands its PartnerOps platform with Revenue Management, giving distributors and resellers a purpose-built backbone to bill accurately, protect margin, and scale profitable cloud practices.
AWS Savings Plans vs Reserved Instances 2026: The Decision Guide Engineers Actually Need
AWS Savings Plans vs. Reserved Instances: a practical decision framework from a Senior Cloud Architect, updated for 2025–2026. Includes a comparison table, anti-patterns, and the layered commitment strategy DoiT recommends for enterprise.
The Top 5 VMware Alternatives for CloudOps Teams After Broadcom
Broadcom's VMware pricing changes have teams evaluating alternatives. Compare Proxmox VE, Hyper-V, Nutanix AHV, OpenStack, and DoiT to find the right migration
From Karpathy's LLM Wiki to a Working Second Brain: My Implementation with Amazon Quick Desktop
Karpathy's LLM Wiki framework reframed how I think about AI memory. Here's how I implemented a working second brain using Amazon Quick Desktop's connected tools and knowledge graph.
AWS Bedrock Knowledge Base Implementation: What I Learned Building a Production Policy Audit System
What I learned shipping an AWS Bedrock Knowledge Base policy audit system to production: architecture choices, chunking mistakes, cost surprises, and undocumented gotchas.
K3s vs K8s: choosing the right Kubernetes distribution for your workload
K3s vs K8s: compare architecture, resource requirements, production readiness, and day-2 operations to choose the right Kubernetes distribution for your team
The AI Spending Data Your Board Is About to Ask You About
A Guide to AWS AI: SageMaker vs. Bedrock
AWS Bedrock and SageMaker have converged in 2026, blurring the line between managed AI and custom ML. Here's how to choose based on lifecycle, ROI, and data sovereignty.